Results 101 to 110 of about 139,337 (213)
Abstract Genomic resources, new microsatellite markers and a novel observation of a fractal pattern in the genetic population structure are presented for curimba, Prochilodus lineatus, a freshwater migratory model species of South America. Our main goals were to investigate the presence of mixed fish stocks and the effects of damming‐induced ...
Gabriel M. Yazbeck +5 more
wiley +1 more source
Context modulates brain state dynamics and behavioral responses during narrative comprehension. [PDF]
Chen Y +4 more
europepmc +1 more source
Abstract Four new species of the small‐sized armoured catfish genus Pareiorhina are described from mountain ranges in the Grande River drainage, upper Paraná River basin, based on morphological and molecular species delimitation methods. Molecular analyses based on the cytochrome oxidase subunit I (COI) marker recovered Pareiorhina as polyphyletic ...
Pedro L. C. Uzeda +6 more
wiley +1 more source
Network motif detection using hidden markov models. [PDF]
Bampos C, Megalooikonomou V.
europepmc +1 more source
Abstract Brain surgery is a widely practised and effective treatment for brain tumours, but accurately identifying and classifying tumour boundaries is crucial to maximise resection and avoid neurological complications. This precision in classification is essential for guiding surgical decisions and subsequent treatment planning.
Neetu Sigger +2 more
wiley +1 more source
Estimation of the exponential growth rate of an epidemic. [PDF]
Wang M +3 more
europepmc +1 more source
ABSTRACT There is an increased proportion of studies using quantile‐based regression methodology (QR) in economics. They offer a robust alternative to classical mean regressions, which can estimate non‐normal variables with distributional heterogeneity in the dependent variable.
Shajara Ul‐Durar +4 more
wiley +1 more source
Latent classification of time-dependent transition rates in longitudinal binary outcome data. [PDF]
Chang J, Chan W.
europepmc +1 more source
A perspective on automated rapid eye movement sleep assessment
Summary Rapid eye movement sleep is associated with distinct changes in various biomedical signals that can be easily captured during sleep, lending themselves to automated sleep staging using machine learning systems. Here, we provide a perspective on the critical characteristics of biomedical signals associated with rapid eye movement sleep and how ...
Mathias Baumert, Huy Phan
wiley +1 more source
Neural parameter calibration for dengue outbreak forecasting. [PDF]
Pham HV +3 more
europepmc +1 more source

